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Estimating the statistical significance of sequence motifs

The identification of transcription factor binding sites is an important step in understanding the regulation of gene expression. To address this need, many motif-finding tools have been described that can find short sequence motifs given only an input set of sequences.

Somewhat surprisingly, development of the significance analysis of the motifs reported by those motif finders has lagged considerably behind the extensive development of the finders themselves. Nevertheless, this analysis is often crucial in helping scientists decide whether or not to carry the predicted motifs to the next stage of their analysis. We will discuss the problem of evaluating the statistical significance of sequence motifs in the general context of evaluating the statistical significance of an observed result.

Информация о лекции с сайта RECOMB Satellite Conference on Bioinformatics Education

Лекции курса

9
  1. Bioinformatics Learning 2.0: proposing an open source consortium for bioinformatics teaching materialsChristopher Lee
  2. From Sequence to Structure and Function: Inspiring Students with Bioinformatics ProblemsBrian Tjaden
  3. The Number of Reversing SubstitutionsСергей Науменко
  4. How do we teach bioinformatics to 10,000 students at the same time?Jennifer McDowal
  5. Estimating the statistical significance of sequence motifs▶ Вы тут
  6. Machine learning methods for protein sorting predictionHenrik Nielsen
  7. Evolutionary History of RepeatsСергей Николенко
  8. Identifying the Microbiomic Basis of DiseaseGabriel Valiente
  9. Alignment Beyond Sequences: Forwards and Backwards in Colors and DAGsMichael Brudno